Sync 5 new model versions from Civitai (Batch 2/21)

All-in-One_Z-Image_WAN_Flux_Flux_Kontext_Qwen_image_SDXL_Chroma_ControlNet_Txt2Img_Img2Img_inpaint_outpaint_LLM/ZImageTurbo/allInOneZImageWANFluxFluxKontextQwen_v29.zip

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All-in-One_Z-Image_WAN_Flux_Flux_Kontext_Qwen_image_SDXL_Chroma_ControlNet_Txt2Img_Img2Img_inpaint_outpaint_LLM/ZImageTurbo/allInOneZImageWANFluxFluxKontextQwen_v30.zip

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All-in-One_Z-Image_WAN_Flux_Flux_Kontext_Qwen_image_SDXL_Chroma_ControlNet_Txt2Img_Img2Img_inpaint_outpaint_LLM/ZImageTurbo/allInOneZImageWANFluxFluxKontextQwen_v40.zip

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All-in-One_Z-Image_WAN_Flux_Flux_Kontext_Qwen_image_SDXL_Chroma_ControlNet_Txt2Img_Img2Img_inpaint_outpaint_LLM/ZImageTurbo/allInOneZImageWANFluxFluxKontextQwen_v51.zip

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Amazing_Z-Image_Workflow/ZImageTurbo/amazingZImage_v20.zip

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ZImageTurbo_info.md

@@ -208,4 +208,414 @@ English is not my native language. The above is translated by AI. If there is an
 *   **Size**: 0.02 MB
 *   **Hash (AutoV2)**: `8A99A3EC83`
 *   **Hash (SHA256)**: `8A99A3EC83C907C6507509D629B28EDA28341B0C321EDE6386E9A751E892A67F`
+---
+
+---
+# All-in-One. Z-Image, WAN, Flux,  Flux Kontext, Qwen image, SDXL, Chroma, ControlNet, Txt2Img, Img2Img, inpaint, outpaint, LLM (Version: v5.1)
+**Creator**: [TikFesku](https://civitai.com/user/TikFesku)
+**Type**: Workflows
+**Base Model**: ZImageTurbo
+**Version Uploaded**: 2025-12-05
+**Trigger Words**: `N/A`
+**Civitai Model ID**: 2170147
+**Civitai Version ID**: 2473500
+**Stats (at time of fetch for this version)**:
+*   Downloads: 91
+*   Rating: 0.0 (0 ratings)
+*   Favorites: N/A
+---
+## Description (Parent Model)
+This workflow support
+Z-Image, Wan, Flux, Flux Kontext, Qwen Image, Qwen Image Edit, SDXL/Pony, Chroma and Lumina-Image 2.0
+txt2img, img2img, Inpaint functionality.
+ControlNet for text2img, img2img and inpainting
+Outpainting in Edit/Kontext mode
+safetensor, gguf and svdq (Nunchaku) checkpoints
+Powerful multi Lora loader (Lora manager)
+LLM to describe images
+Face Detailer
+Multi or single images load for Edit/Kontext
+Each model have its own lora loader for keeping settings between model after switching.
+Use Linear\Euler Normal 12 steps for Z-Image
+You can turn on or off not blocks using red switcher in the center of workflow.
+Img2Img and inpainting denoise settings located in Img2Img group
+Edit/Kontext support can be enabled or disabled using switcher at Sampler node.
+There are 3 switchers there:
+Base edit mode can be used to edit images with manual output dimensions or multi image input.
+2. Keep aspect ratio mode can be used only for singe image inputs
+3. Outpainting mode
+Due to difficulties with installing the Qwen_3 LLM node dependencies, it has been replaced with
+ComfyUI_VLM_nodes
+, which can be installed directly from the manager. At the moment, the LLM is used for describing images. The node supports many models, but my favorite option is using
+Llama-Joycaption-Beta-One-Hf-Llava-Q8_0.gguf
+as a model and
+llama-joycaption-beta-one-llava-mmproj-model-f16.gguf
+as clip
+Both files must be located in models/LLavacheckpoints folder.
+====old versions===
+Besides there is a built-in LLM node (you can just delete LLM group if there is no plans to use it)
+https://github.com/AlexYez/comfyui-timesaver
+TS_Qwen3_Node node can describe images, translate prompts and enhance prompts.
+If your operating system is Windows and you can't install Qwen3_Node dependencies (don’t have a compiler installed), try to download the
+.whl
+file from
+https://github.com/boneylizard/llama-cpp-python-cu128-gemma3/releases
+then close ComfyUI, open the
+python_embeded
+folder, type
+cmd
+in the address bar, and execute the following command.
+.\python.exe -I -m pip install "path to downloaded.whl file"
+after installing you can run ComfyUi and install missing custom nodes as normal way.
+Edit: If
+.whl
+install fails, check your Python version and make sure that
+.whl
+was build for this version. If it is still fails, try to open
+.whl
+as archive and just extract all folders from archive to
+python_embeded\Lib\site-packages
+folder
+## Civitai Links
+*   **[View This Version on Civitai →](https://civitai.com/models/2170147?modelVersionId=2473500)**
+*   [View Full Model Page →](https://civitai.com/models/2170147)
+*   [View Creator Profile →](https://civitai.com/user/TikFesku)
+---
+## File Information
+
+*   **Primary Filename (Civitai)**: `allInOneZImageWANFluxFluxKontextQwen_v51.zip`
+*   **Size**: 6.42 MB
+*   **Hash (AutoV2)**: `AC9DBF625B`
+*   **Hash (SHA256)**: `AC9DBF625B9351C7A0A6544CE9EBFA4B1163EC8559F63F646C6F3E943DD7E93E`
+---
+
+---
+# All-in-One. Z-Image, WAN, Flux,  Flux Kontext, Qwen image, SDXL, Chroma, ControlNet, Txt2Img, Img2Img, inpaint, outpaint, LLM (Version: v2.9)
+**Creator**: [TikFesku](https://civitai.com/user/TikFesku)
+**Type**: Workflows
+**Base Model**: ZImageTurbo
+**Version Uploaded**: 2025-11-27
+**Trigger Words**: `N/A`
+**Civitai Model ID**: 2170147
+**Civitai Version ID**: 2444876
+**Stats (at time of fetch for this version)**:
+*   Downloads: 76
+*   Rating: 0.0 (0 ratings)
+*   Favorites: N/A
+---
+## Description (Parent Model)
+This workflow support
+Z-Image, Wan, Flux, Flux Kontext, Qwen Image, Qwen Image Edit, SDXL/Pony, Chroma and Lumina-Image 2.0
+txt2img, img2img, Inpaint functionality.
+ControlNet for text2img, img2img and inpainting
+Outpainting in Edit/Kontext mode
+safetensor, gguf and svdq (Nunchaku) checkpoints
+Powerful multi Lora loader (Lora manager)
+LLM to describe images
+Face Detailer
+Multi or single images load for Edit/Kontext
+Each model have its own lora loader for keeping settings between model after switching.
+Use Linear\Euler Normal 12 steps for Z-Image
+You can turn on or off not blocks using red switcher in the center of workflow.
+Img2Img and inpainting denoise settings located in Img2Img group
+Edit/Kontext support can be enabled or disabled using switcher at Sampler node.
+There are 3 switchers there:
+Base edit mode can be used to edit images with manual output dimensions or multi image input.
+2. Keep aspect ratio mode can be used only for singe image inputs
+3. Outpainting mode
+Due to difficulties with installing the Qwen_3 LLM node dependencies, it has been replaced with
+ComfyUI_VLM_nodes
+, which can be installed directly from the manager. At the moment, the LLM is used for describing images. The node supports many models, but my favorite option is using
+Llama-Joycaption-Beta-One-Hf-Llava-Q8_0.gguf
+as a model and
+llama-joycaption-beta-one-llava-mmproj-model-f16.gguf
+as clip
+Both files must be located in models/LLavacheckpoints folder.
+====old versions===
+Besides there is a built-in LLM node (you can just delete LLM group if there is no plans to use it)
+https://github.com/AlexYez/comfyui-timesaver
+TS_Qwen3_Node node can describe images, translate prompts and enhance prompts.
+If your operating system is Windows and you can't install Qwen3_Node dependencies (don’t have a compiler installed), try to download the
+.whl
+file from
+https://github.com/boneylizard/llama-cpp-python-cu128-gemma3/releases
+then close ComfyUI, open the
+python_embeded
+folder, type
+cmd
+in the address bar, and execute the following command.
+.\python.exe -I -m pip install "path to downloaded.whl file"
+after installing you can run ComfyUi and install missing custom nodes as normal way.
+Edit: If
+.whl
+install fails, check your Python version and make sure that
+.whl
+was build for this version. If it is still fails, try to open
+.whl
+as archive and just extract all folders from archive to
+python_embeded\Lib\site-packages
+folder
+## Civitai Links
+*   **[View This Version on Civitai →](https://civitai.com/models/2170147?modelVersionId=2444876)**
+*   [View Full Model Page →](https://civitai.com/models/2170147)
+*   [View Creator Profile →](https://civitai.com/user/TikFesku)
+---
+## File Information
+
+*   **Primary Filename (Civitai)**: `allInOneZImageWANFluxFluxKontextQwen_v29.zip`
+*   **Size**: 3.66 MB
+*   **Hash (AutoV2)**: `5535A90EF8`
+*   **Hash (SHA256)**: `5535A90EF828E78639501E722643D5A254DB9176088E92F39C1E48BEE5720CCC`
+---
+
+---
+# All-in-One. Z-Image, WAN, Flux,  Flux Kontext, Qwen image, SDXL, Chroma, ControlNet, Txt2Img, Img2Img, inpaint, outpaint, LLM (Version: v3.0)
+**Creator**: [TikFesku](https://civitai.com/user/TikFesku)
+**Type**: Workflows
+**Base Model**: ZImageTurbo
+**Version Uploaded**: 2025-11-28
+**Trigger Words**: `N/A`
+**Civitai Model ID**: 2170147
+**Civitai Version ID**: 2446461
+**Stats (at time of fetch for this version)**:
+*   Downloads: 166
+*   Rating: 0.0 (0 ratings)
+*   Favorites: N/A
+---
+## Description (Parent Model)
+This workflow support
+Z-Image, Wan, Flux, Flux Kontext, Qwen Image, Qwen Image Edit, SDXL/Pony, Chroma and Lumina-Image 2.0
+txt2img, img2img, Inpaint functionality.
+ControlNet for text2img, img2img and inpainting
+Outpainting in Edit/Kontext mode
+safetensor, gguf and svdq (Nunchaku) checkpoints
+Powerful multi Lora loader (Lora manager)
+LLM to describe images
+Face Detailer
+Multi or single images load for Edit/Kontext
+Each model have its own lora loader for keeping settings between model after switching.
+Use Linear\Euler Normal 12 steps for Z-Image
+You can turn on or off not blocks using red switcher in the center of workflow.
+Img2Img and inpainting denoise settings located in Img2Img group
+Edit/Kontext support can be enabled or disabled using switcher at Sampler node.
+There are 3 switchers there:
+Base edit mode can be used to edit images with manual output dimensions or multi image input.
+2. Keep aspect ratio mode can be used only for singe image inputs
+3. Outpainting mode
+Due to difficulties with installing the Qwen_3 LLM node dependencies, it has been replaced with
+ComfyUI_VLM_nodes
+, which can be installed directly from the manager. At the moment, the LLM is used for describing images. The node supports many models, but my favorite option is using
+Llama-Joycaption-Beta-One-Hf-Llava-Q8_0.gguf
+as a model and
+llama-joycaption-beta-one-llava-mmproj-model-f16.gguf
+as clip
+Both files must be located in models/LLavacheckpoints folder.
+====old versions===
+Besides there is a built-in LLM node (you can just delete LLM group if there is no plans to use it)
+https://github.com/AlexYez/comfyui-timesaver
+TS_Qwen3_Node node can describe images, translate prompts and enhance prompts.
+If your operating system is Windows and you can't install Qwen3_Node dependencies (don’t have a compiler installed), try to download the
+.whl
+file from
+https://github.com/boneylizard/llama-cpp-python-cu128-gemma3/releases
+then close ComfyUI, open the
+python_embeded
+folder, type
+cmd
+in the address bar, and execute the following command.
+.\python.exe -I -m pip install "path to downloaded.whl file"
+after installing you can run ComfyUi and install missing custom nodes as normal way.
+Edit: If
+.whl
+install fails, check your Python version and make sure that
+.whl
+was build for this version. If it is still fails, try to open
+.whl
+as archive and just extract all folders from archive to
+python_embeded\Lib\site-packages
+folder
+## Civitai Links
+*   **[View This Version on Civitai →](https://civitai.com/models/2170147?modelVersionId=2446461)**
+*   [View Full Model Page →](https://civitai.com/models/2170147)
+*   [View Creator Profile →](https://civitai.com/user/TikFesku)
+---
+## File Information
+
+*   **Primary Filename (Civitai)**: `allInOneZImageWANFluxFluxKontextQwen_v30.zip`
+*   **Size**: 0.01 MB
+*   **Hash (AutoV2)**: `DCE7A00855`
+*   **Hash (SHA256)**: `DCE7A00855393E0AC1D7C51DBB5C5A854CA6B315B258F6092BED44AE786DA02D`
+---
+
+---
+# All-in-One. Z-Image, WAN, Flux,  Flux Kontext, Qwen image, SDXL, Chroma, ControlNet, Txt2Img, Img2Img, inpaint, outpaint, LLM (Version: v4.0)
+**Creator**: [TikFesku](https://civitai.com/user/TikFesku)
+**Type**: Workflows
+**Base Model**: ZImageTurbo
+**Version Uploaded**: 2025-12-01
+**Trigger Words**: `N/A`
+**Civitai Model ID**: 2170147
+**Civitai Version ID**: 2458234
+**Stats (at time of fetch for this version)**:
+*   Downloads: 140
+*   Rating: 0.0 (0 ratings)
+*   Favorites: N/A
+---
+## Description (Parent Model)
+This workflow support
+Z-Image, Wan, Flux, Flux Kontext, Qwen Image, Qwen Image Edit, SDXL/Pony, Chroma and Lumina-Image 2.0
+txt2img, img2img, Inpaint functionality.
+ControlNet for text2img, img2img and inpainting
+Outpainting in Edit/Kontext mode
+safetensor, gguf and svdq (Nunchaku) checkpoints
+Powerful multi Lora loader (Lora manager)
+LLM to describe images
+Face Detailer
+Multi or single images load for Edit/Kontext
+Each model have its own lora loader for keeping settings between model after switching.
+Use Linear\Euler Normal 12 steps for Z-Image
+You can turn on or off not blocks using red switcher in the center of workflow.
+Img2Img and inpainting denoise settings located in Img2Img group
+Edit/Kontext support can be enabled or disabled using switcher at Sampler node.
+There are 3 switchers there:
+Base edit mode can be used to edit images with manual output dimensions or multi image input.
+2. Keep aspect ratio mode can be used only for singe image inputs
+3. Outpainting mode
+Due to difficulties with installing the Qwen_3 LLM node dependencies, it has been replaced with
+ComfyUI_VLM_nodes
+, which can be installed directly from the manager. At the moment, the LLM is used for describing images. The node supports many models, but my favorite option is using
+Llama-Joycaption-Beta-One-Hf-Llava-Q8_0.gguf
+as a model and
+llama-joycaption-beta-one-llava-mmproj-model-f16.gguf
+as clip
+Both files must be located in models/LLavacheckpoints folder.
+====old versions===
+Besides there is a built-in LLM node (you can just delete LLM group if there is no plans to use it)
+https://github.com/AlexYez/comfyui-timesaver
+TS_Qwen3_Node node can describe images, translate prompts and enhance prompts.
+If your operating system is Windows and you can't install Qwen3_Node dependencies (don’t have a compiler installed), try to download the
+.whl
+file from
+https://github.com/boneylizard/llama-cpp-python-cu128-gemma3/releases
+then close ComfyUI, open the
+python_embeded
+folder, type
+cmd
+in the address bar, and execute the following command.
+.\python.exe -I -m pip install "path to downloaded.whl file"
+after installing you can run ComfyUi and install missing custom nodes as normal way.
+Edit: If
+.whl
+install fails, check your Python version and make sure that
+.whl
+was build for this version. If it is still fails, try to open
+.whl
+as archive and just extract all folders from archive to
+python_embeded\Lib\site-packages
+folder
+## Civitai Links
+*   **[View This Version on Civitai →](https://civitai.com/models/2170147?modelVersionId=2458234)**
+*   [View Full Model Page →](https://civitai.com/models/2170147)
+*   [View Creator Profile →](https://civitai.com/user/TikFesku)
+---
+## File Information
+
+*   **Primary Filename (Civitai)**: `allInOneZImageWANFluxFluxKontextQwen_v40.zip`
+*   **Size**: 6.02 MB
+*   **Hash (AutoV2)**: `3C1729CABE`
+*   **Hash (SHA256)**: `3C1729CABED898D531F537E3F435BF9C3B789893EAFDAEBB792AD05AAF3E89B2`
+---
+
+---
+# Amazing Z-Image Workflow (Version: v2.0)
+**Creator**: [Photographer](https://civitai.com/user/Photographer)
+**Type**: Workflows
+**Base Model**: ZImageTurbo
+**Version Uploaded**: 2025-12-04
+**Trigger Words**: `N/A`
+**Civitai Model ID**: 2181458
+**Civitai Version ID**: 2470336
+**Stats (at time of fetch for this version)**:
+*   Downloads: 793
+*   Rating: 0.0 (0 ratings)
+*   Favorites: N/A
+---
+## Description (Parent Model)
+A
+Z-Image-Turbo
+workflow, which I developed while experimenting with the model, it extends ComfyUI's base workflow functionality with additional features.
+Features
+Style Selector:
+Choose from fourteen customizable image styles for experimentation.
+Sampler Selector:
+Easily pick between the two optimal samplers.
+Workflows for both checkpoint formats (GGUF / Safetensors).
+Custom sigma values subjectively adjusted.
+Generated images are saved in the "ZImage" folder, organized by date.
+Includes a trick to enable automatic CivitAI prompt detection.
+Predefined Styles in This Version
+Workflow Overview
+The zip contains two workflow files:
+1.
+"amazing_zimage-GGUF.json"
+: Recommended for GPUs with 12GB or less.
+2.
+"amazing_zimage-SAFETENSORS.json"
+: Based directly on the ComfyUI example.
+You'll often come across discussions about the best file format for ComfyUI. Based on my experience, GGUF quantized models offer a better balance between compactness and maintaining good prompt response compared to SafeTensors versions. However, it's also true that ComfyUI has internal speed enhancements that work more effectively with SafeTensors, which might lead you to prefer larger SafeTensors files. The reality is that this depends on several factors: your ComfyUI version, PyTorch setup, CUDA configuration, GPU type, and available VRAM and RAM. To help you out, I've included links below to various checkpoint versions so you can determine what works best for your specific system.
+Required Checkpoints Files
+For amazing_zimage-GGUF.json
+z_image_turbo-Q5_K_S.gguf
+(5.19 GB)
+local directory:
+ComfyUI/models/diffusion_models/
+Qwen3-4B.i1-Q5_K_S.gguf
+(2.82 GB)
+local directory:
+ComfyUI/models/text_encoders/
+ae.safetensors
+(335 MB)
+local directory:
+ComfyUI/models/vae/
+For amazing_zimage-SAFETENSORS.json
+Based directly on the official ComfyUI example,
+z_image_turbo_bf16.safetensors
+(12.3 GB)
+local directory:
+ComfyUI/models/diffusion_models/
+qwen_3_4b.safetensors
+(8.04 GB)
+local directory:
+ComfyUI/models/text_encoders/
+ae.safetensors
+(335 MB)
+l
+ocal directory:
+ComfyUI/models/vae/
+Required Custom Nodes
+The workflows require the following custom nodes:
+(which can be installed via
+ComfyUI-Manager
+or downloaded from their repositories)
+rgthree
+:
+https://github.com/rgthree/rgthree-comfy
+ComfyUI-GGUF
+:
+https://github.com/city96/ComfyUI-GGUF
+License
+This project is licensed under the Unlicense license.
+More info:
+https://github.com/martin-rizzo/AmazingZImageWorkflow
+## Civitai Links
+*   **[View This Version on Civitai →](https://civitai.com/models/2181458?modelVersionId=2470336)**
+*   [View Full Model Page →](https://civitai.com/models/2181458)
+*   [View Creator Profile →](https://civitai.com/user/Photographer)
+---
+## File Information
+
+*   **Primary Filename (Civitai)**: `amazingZImage_v20.zip`
+*   **Size**: 6.66 MB
+*   **Hash (AutoV2)**: `EE7BAA370C`
+*   **Hash (SHA256)**: `EE7BAA370CBB2446A8270C0A9B1814E092D6861613EF2AFCFF07D18354140A85`
 ---

civitai_tracker.json

@@ -29,6 +29,21 @@
       "versions": [
         "2465830"
       ]
+    },
+    "2170147": {
+      "name": "All-in-One. Z-Image, WAN, Flux,  Flux Kontext, Qwen image, SDXL, Chroma, ControlNet, Txt2Img, Img2Img, inpaint, outpaint, LLM",
+      "versions": [
+        "2473500",
+        "2444876",
+        "2446461",
+        "2458234"
+      ]
+    },
+    "2181458": {
+      "name": "Amazing Z-Image Workflow",
+      "versions": [
+        "2470336"
+      ]
     }
   },
   "versions": [
@@ -36,6 +51,11 @@
     "2458999",
     "2459008",
     "2459026",
-    "2465830"
+    "2465830",
+    "2473500",
+    "2444876",
+    "2446461",
+    "2458234",
+    "2470336"
   ]
 }